A new malware family named Webrat has been distributed through GitHub repositories, masquerading as proof-of-concept (PoC) exploits for high-profile vulnerabilities. The campaign, uncovered in late 2025, initially targeted gamers and users seeking cheats or cracked software, but later expanded to include inexperienced information security professionals and students. Attackers crafted repositories with detailed, AI-generated descriptions of vulnerabilities, including guides and mitigation steps, to build credibility and lure victims into downloading malicious files.
The malware is delivered as a password-protected archive containing an executable that escalates privileges, disables Windows Defender, and downloads the Webrat payload from a hardcoded URL. Once installed, Webrat can steal credentials from Telegram, Discord, Steam, and cryptocurrency wallets, log keystrokes, record screens, access webcams and microphones, and provide remote access to attackers. The campaign leverages vulnerabilities with high CVSSv3 scores, such as those in Internet Explorer, WordPress plugins, Windows services, and Tenda routers, to attract victims searching for exploit code.

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On December 23, 2025, public reports detailed that WebRAT was being spread through fake GitHub exploit repositories instead of only through gaming and piracy-themed lures. The disclosure emphasized that the malware's functionality was largely unchanged, but the social-engineering tactic had evolved to target the cybersecurity community.
By the time public reporting appeared, the fake GitHub repositories used in the campaign had been taken down. Researchers warned that the threat remained because attackers could quickly create replacement repositories and continue using the same lure.
Researchers identified 15 GitHub repositories posing as exploit code for recently disclosed vulnerabilities, including examples tied to multiple 2025 CVEs. The repositories were part of the same social-engineering operation distributing WebRAT rather than legitimate proof-of-concept code.
Kaspersky researchers discovered the GitHub-based WebRAT campaign about a month after it began, indicating detection around October 2025. Their analysis found repositories using AI-generated-looking writeups, password-protected ZIP archives, and loaders that disabled Defender, escalated privileges, and fetched WebRAT from hardcoded infrastructure.
By at least September 2025, WebRAT operators expanded distribution to GitHub repositories masquerading as proof-of-concept exploits for high-profile CVEs. The campaign targeted inexperienced security researchers, students, and aspiring hackers likely to run untrusted exploit code on their own Windows systems.
WebRAT was seen in the wild by January 2025, distributed through game cheats, pirated software, patches, and similar lures rather than fake exploit repositories. Reports describe it as an established backdoor and infostealer before the later GitHub-focused campaign.
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